DocumentCode
998564
Title
Noise Enhanced Detection as a Special Case of Randomization
Author
Kay, Steven
Author_Institution
Dept. of Electr., Univ. of Rhode Island, Kingston, RI
Volume
15
fYear
2008
fDate
6/30/1905 12:00:00 AM
Firstpage
709
Lastpage
712
Abstract
It is shown in this letter that the addition of noise to data, resulting in noise enhanced detection, is equivalent to using a randomized decision rule. Since the theory of randomized decision-making is well developed, this link can be exploited to better understand the advantages, disadvantages, and general properties of noise enhanced detection. As an example, we show how some recent results can be interpreted within this more general framework.
Keywords
decision making; decision theory; noise; random processes; signal detection; noise enhanced detection; randomized decision rule; randomized decision-making theory; Biomedical computing; Biomedical signal processing; Decision making; Detectors; Helium; Military computing; Probability density function; Signal detection; Signal processing; Stochastic resonance; Noise enhanced detection; signal detection; stochastic resonance;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2008.2001568
Filename
4682559
Link To Document